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--------- Co-authored-by: Rihards Gravis <rihards@gravis.lv> Co-authored-by: Mikko Korpela <mikko@robocorp.com> |
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robocorp_action_server | ||
tests | ||
.gitignore | ||
LICENSE | ||
poetry.lock | ||
pyproject.toml | ||
README.md |
Langchain - Robocorp Action Server
This template enables using Robocorp Action Server served actions as tools for an Agent.
Usage
To use this package, you should first have the LangChain CLI installed:
pip install -U langchain-cli
To create a new LangChain project and install this as the only package, you can do:
langchain app new my-app --package robocorp-action-server
If you want to add this to an existing project, you can just run:
langchain app add robocorp-action-server
And add the following code to your server.py
file:
from robocorp_action_server import agent_executor as action_server_chain
add_routes(app, action_server_chain, path="/robocorp-action-server")
Running the Action Server
To run the Action Server, you need to have the Robocorp Action Server installed
pip install -U robocorp-action-server
Then you can run the Action Server with:
action-server new
cd ./your-project-name
action-server start
Configure LangSmith (Optional)
LangSmith will help us trace, monitor and debug LangChain applications. LangSmith is currently in private beta, you can sign up here. If you don't have access, you can skip this section
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=<your-api-key>
export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
Start LangServe instance
If you are inside this directory, then you can spin up a LangServe instance directly by:
langchain serve
This will start the FastAPI app with a server is running locally at http://localhost:8000
We can see all templates at http://127.0.0.1:8000/docs We can access the playground at http://127.0.0.1:8000/robocorp-action-server/playground
We can access the template from code with:
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/robocorp-action-server")